Cloudera: role-based access control, not models, decides AI agent trust

Cloudera's pitch at EVOLVE26 lands as enterprises move AI agents from pilots into production and hit a wall that has little to do with which model they picked. Leo Brunnick, the company's chief product officer, argues that because an agent must see data across the whole company to be useful, it has to know who the user is and what that user is allowed to see — making role-based access control the real gate on trust.

The surrounding pressures reinforce that view. Rising inference costs, privacy worries and sovereignty demands are pulling more AI workloads back inside corporate data centers, which plays to vendors with long experience governing sensitive data at scale. Cloudera is positioning Cloudera Anywhere Cloud, its hybrid platform spanning public clouds and on-premises environments, for exactly that shift, while acknowledging its own weak spot: Brunnick said people do not think of Cloudera as an AI company.

That is where the partnerships come in. Cloudera is packaging blueprints and expanding ties with Mistral AI SAS, Nvidia Corp. and Vast Data Inc. for private AI use cases such as fraud detection, and Brunnick credits Mistral — a specialist in open-weight models for on-prem inferencing — with raising Cloudera's credibility astronomically while adding only slightly to its capabilities.